---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ABL_trad_2f
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ABL_trad_2f

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6589
- Accuracy: 0.7588
- F1: 0.7579

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.7767        | 1.0   | 4683  | 0.7649          | 0.6539   | 0.6532 |
| 0.6994        | 2.0   | 9366  | 0.7013          | 0.6922   | 0.6907 |
| 0.6426        | 3.0   | 14049 | 0.6683          | 0.7106   | 0.7092 |
| 0.5984        | 4.0   | 18732 | 0.6440          | 0.7226   | 0.7218 |
| 0.5734        | 5.0   | 23415 | 0.6329          | 0.7301   | 0.7291 |
| 0.5274        | 6.0   | 28098 | 0.6229          | 0.7364   | 0.7348 |
| 0.5195        | 7.0   | 32781 | 0.6193          | 0.7444   | 0.7430 |
| 0.4795        | 8.0   | 37464 | 0.6272          | 0.7486   | 0.7468 |
| 0.4548        | 9.0   | 42147 | 0.6228          | 0.7498   | 0.7481 |
| 0.4284        | 10.0  | 46830 | 0.6356          | 0.7534   | 0.7522 |
| 0.4068        | 11.0  | 51513 | 0.6494          | 0.7550   | 0.7541 |
| 0.3788        | 12.0  | 56196 | 0.6589          | 0.7588   | 0.7579 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1